# merge the answers in one string    answers_str = ""    for i, answer in enumerate(answers):        answers_str += f"CONTENT WEBSITE {i+1}: {answer}\n"    output_parser = JsonOutputParser()    format_instructions = output_parser.get_format_instructions()    template_merge = """    You are a website scraper and you have just scraped some content from multiple websites.\n    You are now asked to provide an answer to a USER PROMPT based on the content you have scraped.\n    You need to merge the content from the different websites into a single answer without repetitions (if there are any). \n    The scraped contents are in a JSON format and you need to merge them based on the context and providing a correct JSON structure.\n    OUTPUT INSTRUCTIONS: {format_instructions}\n    You must format the output with the following schema, if not None:\n    SCHEMA: {schema}\n    USER PROMPT: {user_prompt}\n    WEBSITE CONTENT: {website_content}    """    prompt_template = PromptTemplate(        template=template_merge,        input_variables=["user_prompt"],        partial_variables={            "format_instructions": format_instructions,            "website_content": answers_str,            "schema": self.node_config.get("schema", None),        },    )    merge_chain = prompt_template | self.llm_model | output_parser    answer = merge_chain.invoke({"user_prompt": user_prompt})    # Update the state with the generated answer    state.update({self.output[0]: answer})